Objective: The purpose of our study is to show how the relationship between marital adjustment and satisfaction will change in cases of chronic disease in either or both spouses of married couples using a multivariate statistical analysis method. -/- Methods: Marriage adjustment ve marriage satisfaction scales were used. A structural equation modeling - multiple group analysis method was used in the study, which was designed as a relational screening model. -/- Results: In the study, which included 898 participants, (...) 56.6% of the participants were female and 43.4% were male. The mean age of the participants was 36.94 ± 8.72 standard deviations. First, the relationship between marital adjustment and satisfaction was analyzed using structural equation modeling, and the relationship between the scales was found to be statistically significant (p=0.001). In the model, which was significant and sufficient, the variable of chronic disease was coded on the arrow representing the regression coefficient between the scales, and multiple group analysis was applied. The relationship between marital adjustment and satisfaction was found to be weak among individuals with chronic diseases. The rate of marriage satisfaction explaining marriage adjustment was lower in individuals without chronic disease (R2=0.16) than in those without chronic disease (R2=0.10). While ego scores were not significant in individuals without chronic disease (p=0.237), they were statistically significant in individuals with chronic disease (p=0.017). -/- Conclusion: Chronic diseases has been found to have a significant impact on the relationship between spouses. Many studies have examined the effects of chronic diseases on marriage. However, our study differs from other studies because of the analytical methods used. In the scales, it was determined whether the chronic disease showed a change in the relationship between the scales, not the scores in the chronic disease state. (shrink)

Introduction: The incidence of chronic low back pain (LBP) is very high in Bangladesh. There is a high prevalence of psychiatric diseases among chronic low back pain patients. But primary care physicians and specialists do not screen this association. The aims of this study were to evaluate the incidence and pattern of psychiatric diseases in chronic low back pain patients. Materials and methods: A prospective cross-sectional hospital-based study of 135 chronic low back pain patients using simple, (...) direct, standardized questionnaire including history and detailed psychiatric evaluation by a consultant psychiatrist from January to December 2014. Results: A total 69 chronic low back pain patients (51.1%) were diagnosed with psychiatric problems. Predominant group were female (65.9%), above 40 years of age (60.7%). Depression (44.9 %) and anxiety (31.9%) were the major psychiatric illness diagnosed (76.8%). Only 17.4 % patients expects complete cure. Fear of disease outcome was the commonest precipitating factor found (66.6%). With the adjuvant psychiatric management, 81.1% showed improvement clinically. Conclusion: Detecting the level of psychiatric illness among chronic low back pain patients at early stage will improve the treatment outcome. A referral system to psychiatrists by physicians needs to develop to screen the mental disorder symptoms to treat the problem. (shrink)

The incidence of chronic non-communicable diseases (NCDs) such as diabetes, hypertension, cancers and cardiovascular diseases in Ghana has created a new mix of healthcare challenge for the country.

Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. There are no obvious incidental effects during the starting periods of CKD, patients routinely disregard to see the sickness. Early disclosure of CKD enables patients to seek helpful treatment to improve the development of this disease. AI models can effectively assist clinical with achieving this objective on account of their fast and exact affirmation execution. In this appraisal, (...) proposed a Logistic relapse framework for diagnosing CKD. Proposed calculation like NAIVE BAYES , DECISION TREE , KSTAR , LOGISITIC , AND SVM and look at these calculation and get the most noteworthy precision .AI store, which has an enormous number of missing qualities. Missing characteristics are for the most part found, taking everything into account, clinical conditions since patients might miss a couple of assessments for various reasons. By separating the misjudgements delivered by the set up models and proposed a fused model that unites determined backslide and sporadic woods by using perceptron. (shrink)

Response to commentary. We are grateful to Crockett and Craigie for their interesting remarks on our paper. We accept Crockett’s claim that there is a need for caution in drawing inferences about patient groups from work on healthy volunteers in the laboratory. However, we believe that the evidence we cited established a strong presumption that many of the patients who are routinely taking a medication, including many people properly prescribed the medication for a medical condition, have morally significant aspects of (...) their cognition and behavior modified in a way that is unintended and may sometimes be unwelcome. Crockett notes that in some cases the effects of long-term drug use may differ, sometimes markedly, from the effects of short-term use. However, if acute use of a drug affects a neural system involved in mediating moral cognition or behavior, this nevertheless provides some evidence that chronic use of the drug may affect that same system and thus have morally significant effects. It is also plausible, in some cases, that an acute moral effect would give rise to a chronic moral effect via cognitive mechanisms. ... (shrink)

Background: Arthritis is very common but is not well understood. Actually, “arthritis” is not a single disease; it is an informal way of referring to joint pain or joint disease. There are more than 100 different types of arthritis and related conditions. People of all ages, sexes and races can and do have arthritis, and it is the leading cause of disability in America. More than 50 million adults and 300,000 children have some type of arthritis. It is (...) most common among women and occurs more frequently as people get older. Common arthritis joint symptoms include swelling, pain, stiffness and decreased range of motion. Symptoms may come and go. They can be mild, moderate or severe. They may stay about the same for years, but may progress or get worse over time. Severe arthritis can result in chronic pain, inability to do daily activities and make it difficult to walk or climb stairs. Arthritis can cause permanent joint changes. These changes may be visible, such as knobby finger joints, but often the damage can only be seen on X-ray. Some types of arthritis also affect the heart, eyes, lungs, kidneys and skin as well as the joints. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Orthopedist in diagnosing Arthritis disease through its symptoms such as: pain on pressure in a joint , Inflammation indicated by joint swelling, Stiffness especially in the morning , Loss of flexibility of joint, Limited, joint movement, Deformity of the joints , Weight loss and fatigue , Non-specific fever and Crepitus. The proposed expert system presents an overview about Arthritis disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Arthritis disease diagnosis expert system was evaluated by Orthopedics students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Orthopedist, patients with arthritis and newly graduated Orthopedics students. (shrink)

Background: Chronic myeloid leukemia (CML) is a hematopoietic stem cell disease, associated with a reciprocal translocation between chromosomes 9 and chromosome 22, lead to the formation of the BCRABL fusion gene (Philadelphia chromosome). This fusion gene is believed to play golden role in the initial development of CML with constitutive tyrosine kinase activation. Successful use of tyrosine kinase inhibiters (TKIs) play a role in improve survival and increase prevalence of CML, but un fortunately mutations in the BCR-ABL kinase (...) domain may cause, or contribute to increase, resistance to TKIs in CML patients. . Objective: This study was designed to assess the association of five most common BCR-ABL kinase domain mutations (T315I, M351T, E255K, M244V and E255V) with resistance state of CML patients on TKIs in Iraqi Middle Euphrates region. Patients and methods: A retrospective case-control study in which 85 patients with chronic myeloid leukemia in chronic phase (45 patients as cases group and 40 patient as control group) were selected from three hemato-oncology centers in middle Euphrates in Iraq during the period from January 2016 till October 2016 out of a total of 240 CML patients (108 male and 132 female) who were registered during this period in these three centers and all patients on TKI (Imatinib and Nilotinib). Venous blood sampling done for BCRABL kinase domain mutations screening. Results: four patients from cases group (4/45) were carriers of one of five selected ABL kinase domain mutations and no one of control group. T315I mutation was detected in 3/45 (6.6 %) of resistant patients, with a significant risk association to develop resistance to TKI therapy (odd ratio and C. I.) (6.67, 0.3340 - 133.2255). E255V was detected in 1/45 (2.2 %) and also had significant risk association to develop resistance to TKIs (odd ratio, C.I.) (2.73, 0.1081 -68.9424). No one of these mutations had significance correlation with demographic or hematological features. M351T, E255K and M244V were not detected in any one of our study groups CML patients. Conclusions: T315I and E255V among five ABL kinas domain mutations were detected in our CML patients with resistance to TKIs. All of them may play a role in development variable degree of resistance to first and second generation TKIs weather primary or secondary.T315I mutation is most common mutation within BCR-ABL domain kinase gene. (shrink)

Abstract: Vegetables are an essential component of a healthy diet and play a critical role in promoting overall health and well- being. Vegetables are rich in important vitamins and minerals, including vitamin C, folate, potassium, and iron. They also provide fiber, which helps maintain digestive health and prevent chronic diseases. We are proposing a deep learning model for the classification of vegetables. A dataset was collected from Kaggle depository for Vegetable with 15000 images for 15 different classes. The data (...) was preprocessed, normalized and split into three sets (train, valid, test). The proposed model was trained and validated using the train and valid sets and accuracy of both training and validation was very high. For the evaluation of the proposed model we utilized these metrics: accuracy, F1-score, precision, Recall and time required for testing. We then tested the proposed model using the test set. The result of the testing was accuracy (99.95%), F1-score (99.95%), precision (99.95%), Recall (99.95%) and time required for testing the test set was 1.38 seconds. (shrink)

With millions of animals brought into existence and raised for food every year, their negative impact upon the environment and the staggering growth in the number of chronic diseases caused by meat and dairy diets make a global move toward ethical veganism imperative. Typi-cally, utilitarians and deontologists have led this discussion. The purpose of this paper is to pro-pose a virtuous approach to ethical veganism. Virtue ethics can be used to construct a defense of ethical veganism by relying on (...) the virtues of compassion and fairness. Exercising these values in our relations with animals involves acknowledging their moral value, thus seeing that they are not our property or our food. It is important to emphasize that this argument applies only to well-developed societies that need not rely upon animals as sources of food, clothing, and various by-products. (shrink)

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is (...) “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy. (shrink)

Gerontology together with its subfields, such as social gerontology, geragogy, educational gerontology, political gerontology, environmental gerontology, and financial gerontology, is still a relatively new academic discipline that is currently intensively developing, expanding research fields and combining various theoretical and practical perspectives. The interdisciplinarity, transdisciplinarity, and multidisciplinarity of research on ageing and old age, despite its vast thematic, methodological and theoretical diversity, have a common denominator, which is the focus of research work on improving the quality of life of older people. (...) It is the concern for the components of quality of life such as welfare and well-being as well as focus on learning about phenomena conditioning successful ageing that has become motivators and premises hidden or visible in many texts included in the Research Topic “Perspectives and Theories of Social Innovation for Ageing Population.” The Research Topic that we are presenting to our readers is unique not only because of its size but above all because of its novelty and social involvement, visible in the content of individual chapters. The presented collection includes 17 articles prepared in total by 76 authors from the following countries: China, Finland, Germany, Ghana, Hungary, Ireland, Israel, Italy, Japan, the Netherlands, Poland, Portugal, Slovenia, Spain, Sweden, the United Kingdom, and the United States. Two journals were combined with this Research Topic: “Frontiers in Public Health” and “Frontiers in Sociology.” The presented Research Topic contains seven types of articles covering: two community case studies, eight original research articles, two perspective articles, one hypothesis and theory paper, one policy and practice review, one methods article, and two book reviews. The rationale to start work on this set of texts was the desire to continue and deepen the research analyses of the editors of this set, which concern the development of social innovations for the ageing population as well as changes of public policy on ageing. This Research Topic deals with topics covering issues such as social learning, intergenerational transmission, senior entrepreneurship, creative content creation by older adults, care services, raising the independence of older people in their living environments, dementia challenges, the image of the older generation in local social policies, new trends in qualitative research on old age, strategies for dealing with chronic diseases, the use of digital tools in health education, the silver economy/longevity economy, age-friendly environments, the diversity of structures and social services, preparation for old age, and food safety. The wide variety of submitted texts shows several selected and, according to the authors, current challenges that contemporary seniors have to face. The articles comprising this Research Topic are organized according to five themes. (shrink)

Discussions of patient-centred care and patient autonomy in bioethics have tended to focus on the decision-making context and the process of obtaining informed consent, leaving open the question of how patients ought to be counselled in the daily maintenance of their health and management of chronic disease. Patient activation is an increasingly prominent counselling approach and measurement tool that aims to improve patients’ confidence and skills in managing their own health conditions. The strategy, which has received little conceptual (...) or ethical analysis, raises important questions about how clinicians ought to foster confidence and a sense of control in their patients without exposing them to blame, stigma and other harms. In this paper, we describe patient activation, discuss its relationship to personal responsibility, autonomy and health disparities, and make recommendations regarding its use and measurement. (shrink)

PT. A noção de “pessoa”, pensada a partir do legado antropológico e filosófico do ocidente, afirma-se como uma unidade corporal e espiritual que determina a sua singularidade no seio da comunidade. A “pessoa” assim perspectivada assume uma importância destacada na reflexão ética das aplicações científicas de artificialização da vida humana. Muito concretamente, a noção de “pessoa” deve contribuir para a fundamentação ética das terapêuticas de transplantação. A transplantação representa um dos mais notáveis avanços da medicina do século XX e com (...) um impacto incontornável na prestação de cuidados de saúde. Os transplantes são considerados o tratamento mais eficaz para patologias crónicas que afectam a funcionalidade de determinados órgãos vitais, restituindo ao doente uma melhoria na sua saúde e/ou qualidade de vida. O sucesso desta terapêutica é, no entanto, condicionado pela disponibilização de pessoas que queiram fazer dádiva de si, do seu próprio corpo, para o bem-estar de outrem. Deste modo, a doação, realizada após a morte da pessoa ou ainda em vida, enfrenta vários desafios técnicos, mas também, e principalmente, desafios éticos. A nossa dissertação centra-se na reflexão ética da doação de órgãos e tecidos para transplante e no impacto que a dádiva de uma parte específica do corpo pode comportar na noção de “pessoa”. Deste modo, ao mesmo tempo em que se procura promover a doação de órgãos para aumentar o número de transplantes, também se vão delineando estratégias para salvaguardar a integridade corporal do dador e a eminente dignidade que o constitui como pessoa. As estratégias consistem fundamentalmente num diálogo entre o princípio de autonomia, que determina a singularidade da pessoa, e o princípio de solidariedade, que é desencadeado pela relação com o outro. Estes princípios éticos, articulados e uma vez cumpridos, são os alicerces da doação voluntária e altruísta, e impedem a instrumentalização e exploração da pessoa dadora. -/- EN. The western anthropological and philosophical notion of ‘person’ emerges as a corporal and spiritual entity, which determines his singularity at the level of community. From this perspective, the notion of ‘person’ holds an important place in ethical considerations concerning the scientific applications of artificial manipulation of human life. More precisely, the notion of ‘person’ must contribute towards the ethical basis of transplant therapeutics. The transplantation of human organs and tissues is one of the most notable advances in twentieth century medicine, and, as such, has had an unquestionable impact on health care practice. Transplants are now seen as the best treatment for chronic diseases that impair the function of some vital organs, improving the patient health and/or quality of life. The success of organs transplantation depends entirely upon the altruism of people giving their bodies for the well-being of others. Organ donation, performed during life or after death, raises not only technical, but also mainly ethical challenges. This work focuses on the ethical considerations associated with human organs and tissue donation for transplantation and on the impact that a donation of an organ has on the notion of ‘person’. At the same time that one recognizes the need to increase the number of organs for transplanting, there is also the need to preserve the donor’s corporal integrity and his eminent dignity. Strategies to preserve the donor’s corporal integrity and dignity must take into consideration the dialogue between the principle of autonomy, which is characterized by the singular entity, and the principle of solidarity, born out of one’s relationship with those around you. These ethical principles, once engaged and fulfilled, are the bases of a voluntary and altruistic donation, and prevent the donor from becoming a mere instrument and being exploited as such. (shrink)

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is (...) “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy. -/- . (shrink)

Over the past 25 years, several new “medicines” have come screeching onto health care’s various platforms, including narrative medicine, personalized medicine, precision medicine and person-centred medicine. Philosopher Miriam Solomon calls the first three of these movements different “ways of knowing” or “methods,” and argues that they are each a response to shortcomings of methods that came before them. They should also be understood as reactions to the current dominant model of medicine. In this article, I will describe our dominant model, (...) which I call “the new medical model.” I will argue that several towering problems in modern medicine can be traced to its philosophical foundations, which calls for philosophical analysis. (shrink)

I am a philosopher with Parkinson’s Disease. Over the past several years I’ve been trying to write about my situation. I wrote about how I was forced to face the disease. I described how the disease twists and distorts my world. Then I asked myself, as a philosophy writer and teacher, whether I could say anything that might help myself or others facing life with Parkinson’s? I found ideas in the ancient Stoics and expanded them with ideas (...) about time, coming up with suggestions for living as excellently as possible despite the disease. Looking at those suggestions, I realized how the special awareness, resolve, and attention I was suggesting would be eaten away by dementia, and I know that a majority of Parkinson’s patients face dementia if they survive long enough. What can philosophy say to me or any person whose self and philosophy are being erased? Writing about such issues has helped me deal with my situation, and maybe my essay might be useful for others dealing with decline. (shrink)

As a response to the opioid epidemic in the United States, the Centers for Disease Control and Prevention (CDC) published the CDC Guideline for Prescribing Opioids for Chronic Pain in 2016. This document served as a means to reduce risks and address harms of opioid use by recommending that clinicians conduct periodic urine drug testing for patients on chronic opioid therapy. As an unintended result of this recommendation, providers began using unexpected urine drug test results as a (...) reason to dismiss patients from practice, both out of concern for their patients’ wellbeing as well as their own legal risks. Using Husserl’s and Heidegger’s phenomenology, we argue that this science-based, black-and-white practice does not heed the patient as a whole person. Instead, we recommend a more contextual, patient-centered approach that can help us to better understand and manage patient needs in such contexts. (shrink)

The genetic modification of pigs as a source of transplantable organs is one of several possible solutions to the chronic organ shortage. This paper describes existing ethical tensions in xenotransplantation (XTx) that argue against pursuing it. Recommendations for lifelong infectious disease surveillance and notification of close contacts of recipients are in tension with the rights of human research subjects. Parental/guardian consent for pediatric xenograft recipients is in tension with a child’s right to an open future. Individual consent to (...) transplant is in tension with public health threats that include zoonotic diseases. XTx amplifies concerns about justice in organ transplantation and could exacerbate existing inequities. The prevention of infectious disease in source animals is in tension with the best practices of animal care and animal welfare, requiring isolation, ethologically inappropriate housing, and invasive reproductive procedures that would severely impact the well-being of intelligent social creatures like pigs. (shrink)

Coronavirus disease (Covid-19) is an infectious disease caused by the SARS-CoV-2 virus. Spreading rate of mutated corona virus (delta variant) during second wave was very fast. Most of the people infected with the COVID-19 virus experienced mild to moderate to severe respiratory illness. Although patients in the second wave were younger but the duration of hospitalization and case fatality rate were lower than those in the first wave. During first wave of Covid-19 it was observed that persons above (...) 55 years of age and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease and cancer were more susceptible to develop serious illness but in second it was observed that person between 30 to 55 years along with old age and younger people suffering from hypertension, diabetes and respiratory diseases were more susceptible to this covid-19 virus. The most frequent signs and symptoms in both waves were fever, dyspnea, pneumonia, and cough, and the most relevant comorbidities were cardiovascular diseases, type 2 diabetes mellitus, and chronic neurological diseases. Every country has lost its human resources due to covid-19 virus which not only disturb the social life but economic conditions are also very badly affected. Now we use the resources so rapidly that may create economic imbalance in future. The psychological effect is an essential component of disaster management of infectious pandemics. (shrink)

The study is based on primary data which are collected with the help of a structured schedule from four different castes of population spread over North Tripura District and Unokuti District of Tripura. Stratified random sampling technique was applied for the collection of data at household level where the sample units are the adult women in the age group of 18 - 55 years. All the data are collected based on the criteria of balanced representation of different social castes such (...) as ST, SC, OBC and General in the sample. Altogether 90 samples have been collected. Main objective of the study is to determine the morbidity status and also to determine the key variables which affect morbidity status of the people of North Tripura. Binary logistic regression model has been applied to determine the key determinants of morbidity status. It has been found that age of the respondent, respondents per day calorie intake and educational level of the respondents are the key determinants of morbidity status of the respondents. The model as a whole explained between 30.6% (Cox & Snell R Square) and 41.1 %( Nagelkerke R Square). And ᵡ2 (6.460, N=90) =32.811. (shrink)

Today the whole world is facing a very difficult time due to corona virus which initially originated in Wuhan city of China. In China an unusual pneumonia was noticed earlier which later recognized as a pandemic. There have been two events in the past wherein crossover of animal corona viruses to humans has resulted in severe disease, one was SARS-CoV and the other was MERS-CoV. The genetic sequence of the COVID19 showed more than 80% similarities to SARS-CoV and 50% (...) to the MERSCoV. Corona viruses are enveloped positive sense single-stranded RNA virus belongs to a large family in which all strains of the family do not have virulent capacity. World Health Organisation has classified COVID-19 as a β CoV of group 2B. Structurally, SARS-CoV-2 has four main structural proteins and several accessory proteins through which it enters into the cell. This virus enters the through ACE2 receptors, which are found on various organs in human body. After entering into one body, it enters to another body via transmission through sneezing, coughing etc. People who have had diabetes, chronic respiratory disease, cardiovascular disease, or even high blood pressure and cancer are at higher risk of coronavirus. (shrink)

Background: Leprosy is a chronic granulomatous infectious disease having major burden on humans over thousands of years. If untreated, it results in permanent damage to various systems and organs. So we designed this study to evaluate the neurological complications in early stage in adult leprosy patients. Objective: The aim of this study was to find out the pattern of neurological manifestations among adult leprosy patients. Materials and Methods: This cross-sectional hospital-based study on 85 adult tribal leprosy patients was (...) conducted in a district level health care facility from January to December 2014 using simple, direct, standardized questionnaire including history and neurological examinations. Results: The commonest age group affected was 18–30 years (62.4%). Male group was predominant (68.2%). Majority cases (66%) had multibacillary leprosy. At first visit 72.7% cases with neurological findings could not be diagnosed correctly by primary health care personnel. More than six months were required for correct diagnosis in 61.2% cases. Numbness was the commonest (74.5%) neurological symptom. In upper limb, motor findings were predominant with wasting in 50.9% cases. In lower limb, sensory findings were predominant with stock pattern sensory impairment being the commonest (56.4%). Ulnar nerve was the commonest peripheral nerve to enlarge with tenderness. Facial nerve was the commonest cranial nerve involved. All cases with multiple cranial nerves involvement were of multibacillary type. Due to physical disability 92.7% cases lost their jobs. (shrink)

In this paper, I offer one example of conceptual change. Specifically, I contend that the discovery that viruses could cause cancer represents an excellent example of branch jumping, one of Thagard’s nine forms of conceptual change. Prior to about 1960, cancer was generally regarded as a degenerative, chronic, non-infectious disease. Cancer causation was therefore usually held to be a gradual process of accumulating cellular damage, caused by relatively non-specific component causes, acting over long periods of time. Viral infections, (...) on the other hand, were generally understood to be acute processes, whereby single, specific and necessary causal agents acted alone to produce disease. However, during the 1960s and 1970s, a number of cancers were discovered to have an infectious aetiology. Of particular note were two—Burkitt’s lymphoma and cervical cancer—which I will discuss in detail later in this piece. Together, these discoveries led, in the short term, to a tentative aetiological reclassification of some types of cancer as infectious diseases and, in the longer term, to a full-blown reclassification of cancer as an aetiological disease branch in its own right. This process of reclassification forms the empirical basis for my concluding remarks on the influence of classification upon causation in medicine. Through this, I aim to demonstrate that conceptual change, far from being a purely abstract concern of the philosopher of science, is of substantial import to scientific practitioners. (shrink)

"Our literature is replete with complaints about the chaotic state of the systematics of psychoses and every psychiatrist knows that it is impossible to come to any common understanding on the basis of the old diagnostic labels. ... Thus, not even the masters of science can make themselves understood on the basis of the old concepts and with many patients the number of diagnoses made equals the number of institutions they have been too. ... Errors are the greatest obstacles to (...) the progress of science; to correct such errors is of more practical value than to achieve new knowledge. We have here eliminated chaos of terms behind which useful concepts of disease were mistakenly sought; we have eliminated a veritable forest of boundary posts, not one of which indicated any natural line of demarcation. ... By the term „dementia praecox“ or „schizophrenia“ we designate a group of psychoses whose course is at times chronic, at times marked by intermittent attacks, and which can stop or retrograde at any stage, but does not permit a full restitutio ad integrum. The disease is characterized by a specific type of alteration of thinking, feeling, and relation to the external world which appears nowhere else in this particular fashion." Eugen Bleuler. Dementia Praecox or the Group of Schizophrenias. Translated by Joseph Zinkin. International Universities Press, New York, 1950. (shrink)

Biomedical science has been remarkably successful in explaining illness by categorizing diseases and then by identifying localizable lesions such as a virus and neoplasm in the body that cause those diseases. Not surprisingly, researchers have aspired to apply this powerful paradigm to addiction. So, for example, in a review of the neuroscience of addiction literature, Hyman and Malenka (2001, p. 695) acknowledge a general consensus among addiction researchers that “[a]ddiction can appropriately be considered as a chronic medical illness.” Like (...) other diseases, “Once addiction has taken hold, it tends to follow a chronic course.” (Koob and La Moal 2006, p. ?). Working from this perspective, much effort has gone into characterizing the symptomology of addiction and the brain changes that underlie them. Evidence for involvement of dopamine transmission changes in the ventral tegmental area (VTA) and nucleus accumbens (NAc) have received the greatest attention. Kauer and Malenka (2007, p. 844) put it well: “drugs of abuse can co-opt synaptic plasticity mechanisms in brain circuits involved in reinforcement and reward processing”. Our goal in this chapter to provide an explicit description of the assumptions of medical models, the different forms they may take, and the challenges they face in providing explanations with solid evidence of addiction. <br>. (shrink)

Background: A better understanding of the pattern of epidemic-related referrals to healthcare centers might allow the identification of vulnerabilities and the required changes that the healthcare management system should undergo. Objectives: This study aimed to investigate the COVID-19 referral pattern and the role of media and health management planning in changing the trends. Methods: Data extracted from the electronic medical database of Imam Khomeini Hospital Complex (IKHC), located in Tehran, Iran, from February 20 to June 4, 2020 were examined. Individuals (...) were divided into two groups, COVID-19 positive and negative. We used Google Trends to evaluate Google Internet search queries and also available policy documents, programs, and official news related to COVID-19 in Iran during the mentioned period. Results: In this study, 8647 individuals aged 46.05 ± 16.5 years were referred to IKHC. Approximately 57% were male, and 70% were COVID-19 positive. The most clinical symptoms were dyspnea, fever, cough, and myalgia. Chronic kidney disease (CKD) and type 2 diabetes mellitus were the most common underlying health conditions. In the first two weeks, the percentage of negative cases was higher than positive cases and then the pattern was reversed, when people searched for information about COVID-19 in media. Conclusions: Proper and timely information and education to people through the media and health management measures can be effective in reducing unnecessary visits to health centers, preventing the exhaustion of medical staff, and controlling the disease during epidemics. (shrink)

Physical activity levels of people with chronic neurological disorders are lower than those of healthy people. Problems in neurological disorders, including gait abnormalities, muscle weakness/loss of strength, spasticity, tremor, fatigue, balance disorder, and incontinence, results in lower physical activity level. After determining the situations that are contraindicated for physical activity, the patients should be evaluated by physiotherapists, and possible risks that may occur should be determined. Many studies have demonstrated that physical activity significantly reduces mortality and morbidity, increases community (...) participation, and improves health-related quality of life. These benefits show that increased physical activity and exercise should be part of the standard management of neurological disorders. In these patients, physical activity programs should be structured individually by providing appropriate environmental conditions and safety, following the assessment of the functional status and severity of the disease. The duration, intensity, and type of planned physical activity should be adjusted individually; Appropriate rest intervals should be given during the activity, and termination criteria should be determined according to individual tolerance. This literature review aims to provide an up-to-date overview of physical activity recommendations for individuals with chronic neurological disorders. (shrink)

This academic paper on Ethical issues of using umbilical cord blood stem cell therapy of John Stuart Mill perspective aim to investigate the new approaches in the treatment of diseases by using umbilical cord blood stem cells. And also to study ethical issues from the use of umbilical cord blood stem cells in the treatment of diseases considered by Mill’s utilitarianism. 21st century, the medical industry was interested in organ transplantation from stem cells especially stem cells from the umbilical cord (...) to treat chronic and degenerative organ diseases, blood cancer and organ transplantation which successful and widespread throughout the world. Thailand has about 900 new children with Leukemia every year. About 50 percent are leukemia which needs to be treated correctly and urgently. In general Standardized chemotherapy but if the cancer patient has a bad prognosis Or have recurrent cancer Patients need to be treated with bone marrow transplants or stem cells to have a chance to heal. According to Mill’s Utilitarianism, the ethical concepts that determine what is the basic criterion used to determine whether it should or should not concern with the popular benefit that the criterion used is the amount of happiness that results from actions. Treating the disease using stem cells will make the patient recover from the disease, healthier and happier in life. As Mill said "The correctness of an action depends on the tendency that the action will lead to happiness. (shrink)

Earth and every living organism on this planet require water for survival and without water there would be no life. Drinking water should be clean that means it should be free from micro-organisms, free from harmful chemical and other pollutants. Consuming unsafe drinking water may lead to several water borne diseases, and other long term and chronic health problems. Water conservation encompasses the policies, strategies and activities to manage fresh water as a sustainable resource to protect the water environment (...) and to meet current and future human demand. Water conservation in simple words, is an effort to save water and ultimately save the planet. Water conservation is needed to protect the ecosystem and to restore its fast deterioration and to overcome the threats of environmental degradation, to meet the unavoidable emergency of shortage for drinking and domestic water in near future. (shrink)

Myocardial geometric remodeling is a response to increased stress which includes increased afterload situations during clinical conditions. In this review, we have focused on early and late geometric features in aortic stenosis, importance of recognition of these findings and consequences due to progression of valve disease. We have also pointed out the similarities in early focal and global myocardial geometric remodeling in acute and chronic conditions as hypertension and acute stress cardiomypathy which are associated with myocardial functional and (...) geometric response to acute or chronic stress exposure and relevant increased afterload. In aortic stenosis, target organ involvement in disease progression has been evaluated and discussed in the report. In addition to quantitative evaluation of valve disease, importance of myocardial involvement and global assessment of patients with aortic stenosis also have been mentioned in the report. Finally, we have discussed the importance of global myocardial geometric changes and timing for surgery before development of heart failure in this specific group of patients. (shrink)

Objectives: This study aimed to fill the gap between Vietnamese diabetic patients' needs and care through a qualitative study asking about their experiences with diabetes and quality of care. -/- Methods: Interviews with five diabetic patients were conducted at a tertiary general hospital located in southern Vietnam. The transcribed data were first subjected to quantitative text analysis using KH Coder to identify major categories of frequently used words, followed by a qualitative analysis of selected cases using the Steps for Coding (...) and Theorization (SCAT) method. -/- Results: The major categories of frequently used words were chronic health conditions, services, facilities, insurance, patient-doctor communication, and medication. SCAT analysis of three selected cases identified six themes: “Disregarding the disease at the early stage,” “Fear of complications,” “Satisfaction with hospital services and medical staff,” “Insurance-related problems,” “Long waiting times,” and “Communication barriers between patients and doctors.” Patients were satisfied with improved hospital facilities and services; however, the overloading of one hospital led to long waiting times and communication difficulties with doctors. Difficulties with health insurance were also observed, and patients were rather passive in disease management and needed to be empowered through improved communication with doctors and other care providers. -/- Conclusion: These findings from our trial of introducing a qualitative study into service evaluation suggest that listening to patients can help health providers learn their perspectives and be more responsive to their needs. (shrink)

Debates about the genuine disease status of controversial diseases rely on intuitions about a range of factors. Adopting tools from experimental philosophy, this paper explores some of the factors that influence judgments about whether low sexual desire should be considered a disease and whether it should be medically treated. Drawing in part on some assumptions underpinning a divide in the literature between viewing low sexual desire as a genuine disease and seeing it as improperly medicalized, we investigate (...) whether health and disease judgments are affected by factors such as an individual’s gender, the cause of the low desire, whether the desire is high or low, and both personal and societal valuations of the condition. Our main findings indicate that (a) the cause of a condition influences whether it is judged a disorder, (b) how the individual values the condition influences whether the condition is seen as a proper target of medical intervention, and (c) perceived dysfunction influences judgments regarding health, disorder classification, medicalization, and medical intervention. Our findings help further illuminate the intricate interplay of factors that influence judgments about health and disease in controversial conditions. (shrink)

Rare diseases pose a particular priority setting problem. The UK gives rare diseases special priority in healthcare priority setting. Effectively, the National Health Service is willing to pay much more to gain a quality-adjusted life-year related to a very rare disease than one related to a more common condition. But should rare diseases receive priority in the allocation of scarce healthcare resources? This article develops and evaluates four arguments in favour of such a priority. These pertain to public values, (...) luck egalitarian distributive justice the epistemic difficulties of obtaining knowledge about rare diseases and the incentives created by a higher willingness to pay. The first is at odds with our knowledge regarding popular opinion. The three other arguments may provide a reason to fund rare diseases generously. However, they are either overinclusive because they would also justify funding for many non-rare diseases or underinclusive in the sense of justifying priority for only some rare diseases. The arguments thus fail to provide a justification that tracks rareness as such. There are no data in this work. (shrink)

Technological developments have resulted in tremendous increases in the volume and diversity of the data and information that must be processed in the course of biomedical and clinical research and practice. Researchers are at the same time under ever greater pressure to share data and to take steps to ensure that data resources are interoperable. The use of ontologies to annotate data has proven successful in supporting these goals and in providing new possibilities for the automated processing of data and (...) information. In this chapter, we describe different types of vocabulary resources and emphasize those features of formal ontologies that make them most useful for computational applications. We describe current uses of ontologies and discuss future goals for ontology-based computing, focusing on its use in the field of infectious diseases. We review the largest and most widely used vocabulary resources relevant to the study of infectious diseases and conclude with a description of the Infectious Disease Ontology (IDO) suite of interoperable ontology modules that together cover the entire infectious disease domain. (shrink)

The Neurological Disease Ontology (ND) is being developed to provide a comprehensive framework for the representation of neurological diseases (Diehl et al., 2013). ND utilizes the model established by the Ontology for General Medical Science (OGMS) for the representation of entities in medicine and disease (Scheuermann et al., 2009). The goal of ND is to include information for each disease concerning its molecular, genetic, and environmental origins, the processes involved in its etiology and realization, as well as (...) its clinical presentation including signs and symptoms. (shrink)

In the contemporary biomedical literature, every disease is considered genetic. This extension of the concept of genetic disease is usually interpreted either in a trivial or genocentrist sense, but it is never taken seriously as the expression of a genetic theory of disease. However, a group of French researchers defend the idea of a genetic theory of infectious diseases. By identifying four common genetic mechanisms (Mendelian predisposition to multiple infections, Mendelian predisposition to one infection, and major gene (...) and polygenic predispositions), they attempt to unify infectious diseases from a genetic point of view. In this article, I analyze this explicit example of a genetic theory, which relies on mechanisms and is applied only to a specific category of diseases, what we call “a regional genetic theory.” I have three aims: to prove that a genetic theory of disease can be devoid of genocentrism, to consider the possibility of a genetic theory applied to every disease, and to introduce two hypotheses about the form that such a genetic theory could take by distinguishing between a genetic theory of diseases and a genetic theory of Disease. Finally, I suggest that network medicine could be an interesting framework for a genetic theory of Disease. (shrink)

Some ‘naturalist’ accounts of disease employ a biostatistical account of dysfunction, whilst others use a ‘selected effect’ account. Several recent authors have argued that the biostatistical account offers the best hope for a naturalist account of disease. We show that the selected effect account survives the criticisms levelled by these authors relatively unscathed, and has significant advantages over the BST. Moreover, unlike the BST, it has a strong theoretical rationale and can provide substantive reasons to decide difficult cases. (...) This is illustrated by showing how life-history theory clarifies the status of so-called diseases of old age. The selected effect account of function deserves a more prominent place in the philosophy of medicine than it currently occupies. _1_ Introduction _2_ Biostatistical and Selected Effect Accounts of Function _3_ Objections to the Selected Effect Account _3.1_ Boorse _3.2_ Kingma _3.3_ Hausman _3.4_ Murphy and Woolfolk _4_ Problems for the Biostatistical Account _4.1_ Schwartz _5_ Analysis versus Explication _6_ Explicating Dysfunction: Life History Theory and Senescence _7_ Conclusion. (shrink)

Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary (...) classification, identifying the presence or absence of heart disease. The neural network architecture includes an input layer, a hidden layer, and an output layer, designed to capture intricate relationships within the dataset. Rigorous training and validation processes, accompanied by data preprocessing steps, ensure the model's robustness and generalization capabilities. The results demonstrate promising performance, with an accuracy of 92% and an average error of 0.062. Moreover, an analysis of feature importance highlights key predictors, including "oldpeak," "thalach," "trestbps," "ca," "thal," "cp," "chol," "sex," "restecg," "age," "slope," "fbs," and "exang." This research contributes to the field of predictive healthcare by leveraging neural networks to enhance heart disease prediction. The developed model offers the potential for early identification of individuals at risk, facilitating timely medical interventions and ultimately improving public health. Further exploration of machine learning techniques in healthcare promises to reshape disease prediction and prevention strategies. (shrink)

Our goal in this paper is to articulate a precise concept of at least a certain kind of disease-mongering, showing how pharmaceutical marketing can commercially exploit certain diseases when their best definition is given through the success of a treatment in a clinical trial. We distinguish two types of disease-mongering according to the way they exploit the definition of the trial population for marketing purposes. We argue that behind these two forms of disease-mongering there are two well-known (...) problems in the statistical methodology of clinical trials (the reference class problem and the distinction between statistical and clinical significance). Overcoming them is far from simple. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed (...) with a heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

In this paper, we identify some key features of what makes something a disease, and consider whether these apply to pregnancy. We argue that there are some compelling grounds for regarding pregnancy as a disease. Like a disease, pregnancy affects the health of the pregnant person, causing a range of symptoms from discomfort to death. Like a disease, pregnancy can be treated medically. Like a disease, pregnancy is caused by a pathogen, an external organism invading (...) the host’s body. Like a disease, the risk of getting pregnant can be reduced by using prophylactic measures. We address the question of whether the ‘normality’ of pregnancy, its current necessity for human survival, or the value often attached to it are reasons to reject the view that pregnancy is a disease. We point out that applying theories of disease to the case of pregnancy, can in many cases illuminate inconsistencies and problems within these theories. Finally, we show that it is difficult to find one theory of disease that captures all paradigm cases of diseases, while convincingly excluding pregnancy. We conclude that there are both normative and pragmatic reasons to consider pregnancy a disease. (shrink)

Whipple disease is a rare, infectious, disease first described from a single case by Whipple in 1907. As well as characterising the clinical and pathological features of the condition, Whipple made two suggestions regarding its aetiology. These were either than the disease was caused by an infectious agent, or that it was of metabolic origin. As the disease is now thought to be caused by infection with the bacterium Tropheryma whipplei, historical reviews of the history of (...) the disease typically mention only the first of these suggestions. In this paper, we therefore revisit Whipple’s other theory. We argue that a diverse and often successful research programme was developed around this mechanism of disease causation which gave rise to many useful findings on the condition. In the later parts of this article, we then turn to discuss the surprising neglect of this period of Whipple disease research in the current literature, and conclude by offering a brief reconstruction of this early history suitable for use in a technical context. (shrink)

Similarly to other accounts of disease, Christopher Boorse’s Biostatistical Theory (BST) is generally presented and considered as conceptual analysis, that is, as making claims about the meaning of currently used concepts. But conceptual analysis has been convincingly critiqued as relying on problematic assumptions about the existence, meaning, and use of concepts. Because of these problems, accounts of disease and health should be evaluated not as claims about current meaning, I argue, but instead as proposals about how to define (...) and use these terms in the future, a methodology suggested by Quine and Carnap. I begin this article by describing problems with conceptual analysis and advantages of “philosophical explication,” my favored approach. I then describe two attacks on the BST that also question the entire project of defining “disease.” Finally, I defend the BST as a philosophical explication by showing how it could define useful terms for medical science and ethics. (shrink)

Chronic fatigue syndrome or myalgic encephalomyelitis remains a controversial illness category. This paper surveys the state of knowledge and attitudes about this illness and proposes that epistemic concerns about the testimonial credibility of patients can be articulated using Miranda Fricker’s concept of epistemic injustice. While there is consensus within mainstream medical guidelines that there is no known cause of CFS/ME, there is continued debate about how best to conceive of CFS/ME, including disagreement about how to interpret clinical studies of (...) treatments. Against this background, robust qualitative and quantitative research from a range of countries has found that many doctors display uncertainty about whether CFS/ME is real, which may result in delays in diagnosis and treatment for patients. Strikingly, qualitative research evinces that patients with CFS/ME often experience suspicion by health professionals, and many patients vocally oppose the effectiveness, and the conceptualization, of their illness as psychologically treatable. We address the intersection of these issues and healthcare ethics, and claim that this state of affairs can be explained as a case of epistemic injustice. We find evidence that healthcare consultations are fora where patients with CFS/ME may be particularly vulnerable to epistemic injustice. We argue that the marginalization of many patients is a professional failure that may lead to further ethical and practical consequences both for progressive research into CFS/ME, and for ethical care and delivery of current treatments among individuals suffering from this debilitating illness. (shrink)

This review was conducted to examine the causes, diagnoses, clinical manifestations, and available treatments for Graves' disease. Keywords like "Graves' disease," "radioactive iodine," "etiology," and "treatment" were used to search for data pertaining to Textbooks on endocrinology and other papers from these sources were also located. The introduction, etiology, risk factors, symptoms, diagnosis, course of treatment, and the contribution of many factors to the beginning of Graves' disease are all covered in this review article.

The highly contagious 2019 novel coronavirus disease (COVID-19) outbreak has not only impacted health systems, economies, and governments, it has also rapidly grown into a global health crisis, which is now threatening the lives of millions of people globally. While, on one hand, medical institutions are critically attempting to find a cure, on the other hand, governments have introduced striking measures and policies to curtail the rapid spread of the disease. Although COVID-19 has achieved pandemic status and is (...) predominantly viewed as a biomedical issue, it is argued that it should also be treated as a psychological crisis. This paper also reviews the literature to examine and comment on the detrimental effects of isolation, which has been enforced as one of the primary preventative measures to manage the spread of COVID-19. This paper further outlines key recommendations that should be addressed across different levels to buffer against the known adverse effects of isolation, which is especially relevant for the current COVID-19 situation, where a large proportion of the global population is isolated, confined, and/or quarantined. (shrink)

Plants from a handful of species provide the primary source of food for all people, yet this source is vulnerable to multiple stressors, such as disease, drought, and nutrient deficiency. With rapid population growth and climate uncertainty, the need to produce crops that can tolerate or resist plant stressors is more crucial than ever. Traditional plant breeding methods may not be sufficient to overcome this challenge, and methods such as highOthroughput sequencing and automated scoring of phenotypes can provide significant (...) new insights. Ontologies are essential tools for accessing and analysing the large quantities of data that come with these newer methods. As part of a larger project to develop ontologies that describe plant phenotypes and stresses, we are developing a plant disease extension of the Infectious Disease Ontology (IDOPlant). The IDOPlant is envisioned as a reference ontology designed to cover any plant infectious disease. In addition to novel terms for infectious diseases, IDOPlant includes terms imported from other ontologies that describe plants, pathogens, and vectors, the geographic location and ecology of diseases and hosts, and molecular functions and interactions of hosts and pathogens. To encompass this range of data, we are suggesting inOhouse ontology development complemented with reuse of terms from orthogonal ontologies developed as part of the Open Biomedical Ontologies (OBO) Foundry. The study of plant diseases provides an example of how an ontological framework can be used to model complex biological phenomena such as plant disease, and how plant infectious diseases differ from, and are similar to, infectious diseases in other organism. (shrink)

Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized through (...) techniques like hyperparameter tuning, cross-validation, and feature selection to improve prediction accuracy. (shrink)

Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized through (...) techniques like hyperparameter tuning, cross-validation, and feature selection to improve prediction accuracy. (shrink)

Claims about whether or not infertility is a disease are sometimes invoked to defend or criticize the provision of state-funded treatment for infertility. In this paper, I suggest that this strategy is problematic. By exploring infertility through key approaches to disease in the philosophy of medicine, I show that there are deep theoretical disagreements regarding what subtypes of infertility qualify as diseases. Given that infertility's disease status remains unclear, one cannot uncontroversially justify or undermine its claim to (...) medical treatment by claiming that it is or is not a disease. Instead of focusing on disease status, a preferable strategy to approach the debate about state-funded treatment is to explicitly address the specific ethical considerations raised by infertility. I show how this alternative strategy can be supported by a recent theoretical framework in the philosophy of medicine, which avoids the problems associated with the concepts of health and disease. (shrink)